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LEACH-C Variants using Different Optimization Techniques: A Survey

by Nidhi Saini, Rajeev Kumar, Reeta Bhardwaj
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 4
Year of Publication: 2017
Authors: Nidhi Saini, Rajeev Kumar, Reeta Bhardwaj
10.5120/ijca2017915818

Nidhi Saini, Rajeev Kumar, Reeta Bhardwaj . LEACH-C Variants using Different Optimization Techniques: A Survey. International Journal of Computer Applications. 178, 4 ( Nov 2017), 46-50. DOI=10.5120/ijca2017915818

@article{ 10.5120/ijca2017915818,
author = { Nidhi Saini, Rajeev Kumar, Reeta Bhardwaj },
title = { LEACH-C Variants using Different Optimization Techniques: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2017 },
volume = { 178 },
number = { 4 },
month = { Nov },
year = { 2017 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number4/28666-2017915818/ },
doi = { 10.5120/ijca2017915818 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:49:31.632251+05:30
%A Nidhi Saini
%A Rajeev Kumar
%A Reeta Bhardwaj
%T LEACH-C Variants using Different Optimization Techniques: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 4
%P 46-50
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Low Energy Efficient Clustering Hierarchy-Centralised (LEACH-C) protocol is one of the most pivotal parts of Wireless Sensor Networks (WSN). LEACH-C protocol employs Simulated Annealing algorithm, which is an optimization technique for cluster-head (CH) selection as well as cluster formation. A number of LEACH-C variants came into consideration that uses different optimization techniques in place of Simulated Annealing for CH selection, cluster formation and data transmission also. This paper provides an insight to such LEACH-C based protocols and also compare their performance in terms of network lifetime, stability period and energy consumption in a tabular form. Network lifetime is compared by evaluating the number of nodes dead with respect to the rounds.

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Index Terms

Computer Science
Information Sciences

Keywords

Cluster Cluster-head data transmission energy consumption LEACH-C network lifetime optimization simulated annealing stability period Wireless Sensor Networks

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